Joint openEO - Terrascope webinar

Webinar recording: Simplifying EO data processing with openEO

In this webinar we introduced openEO, a new approach to work with Earth Observation data and showcase it in the Terrascope platform. We explained how openEO enables access to big Earth observation processing services in the cloud in a simple and unified way. openEO decouples the concerns of the end users from the complexity and big data challenges of the computing backend. The standardized openEO API that sits in between brings many benefits for both the end user and data/processing provider.

As an end user you do not have to work in a remote environment of virtual machines or other computing nodes anymore, but you can work from your own familiar local environment using her preferred language: Python/Jupyter, R or JavaScript or even work with web apps or mobile apps. In Terrascope, openEO gives you access to our processing cluster with 4300 cores, using easy to write Python scripts. It integrates most datasets on the Terrascope platform, and even adds new ones.

The standardized openEO API also allows you to easily switch between different providers or backends, benefitting from the uniform approach in data discovery, data cube processing, batch job management, etc. The openEO API and client libraries also allow easy integration of your processing workflow in other applications and it streamlines the move from experiment to production.


Webinar 30 March 2021

Simplifying EO data processing with openEO

  • Programme:
    What is openEO and how can openEO simplify your data processing workflows 
    Introduction of the openEO Python (client) library and how it wraps the openEO API
    Demo of openEO on the Terrascope platform including operational use cases, mainly using the openEO Python library
  • Target audience: Earth observation data scientists interested in big Earth observation datasets and image processing. The demos and examples will focus on the openEO Python client library in a Jupyter notebook context. A basic Python background is interesting however not compulsory.
  • Language: the webinars was presented in English

Webinar recording

Simplifying EO data processing with openEO

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